{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np  \n",
    "\n",
    "lines=[]\n",
    "with open('loss3.cvs','r') as f:\n",
    "    lines = f.readlines()\n",
    "    lines = np.array(lines)\n",
    "    lines = lines[lines!='\\n']\n",
    "    lines = np.array([i[:-1].split(',') for i in lines])\n",
    "    lines = lines.astype('float32')\n",
    "    \n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hJnbGmGmSdpF0sZtmrbWSLpL0moTF3iXpRklfNcY8Yoy52xjzI2PMzKztWRmpVitSRAAA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\nRGrZuRxk2uQzTLSmPdN8h8OCV94s77Hml1OSSYeLXSLhOodXQhQlAc2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09wnq67COOyVP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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x223547f4390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "\n",
    "beg = 0\n",
    "step=100\n",
    "cls_loss = lines[:,0][beg:-1:step]\n",
    "regr_loss = lines[:,1][beg:-1:step]\n",
    "\n",
    "clip =10\n",
    "\n",
    "cls_loss[cls_loss>clip]=clip\n",
    "regr_loss[regr_loss>clip]=clip\n",
    "\n",
    "x = range(0,len(cls_loss))  \n",
    "plt.figure(figsize=(10,4)) #\n",
    "plt.plot(x,cls_loss,\"r-\",linewidth=1)  \n",
    "plt.plot(x,regr_loss,\"b-\",linewidth=1)  \n",
    "plt.title(\"loss\") #图标题  \n",
    "plt.show()  #显示图  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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